• Siemens Energy is deploying a dedicated global platform through GreenLake for engineering-driven high-performance computing as the company responds to record global demand for energy
• The platform uses accelerated computing at scale to leverage future AI-infused simulation workflows and advanced engineering methods
• Deployed across sites in the U.S. and Germany, it enables full control over data and systems under strict export control requirements

LAS VEGAS – HPE Discover Las Vegas 2026 - June 16, 2026 – HPE (NYSE: HPE) today announced that Siemens Energy, a global leader in energy technology, is deploying a dedicated global platform through GreenLake for engineering-driven high-performance computing as the company responds to record global demand for energy. Powered by NVIDIA AI Computing by HPE – the portfolio of AI factory solutions co-developed by HPE and NVIDIA – the platform for the first time introduces accelerated computing at scale to integrate artificial intelligence (AI) into a sovereign private cloud that can leverage future AI-infused simulation workflows and advanced engineering methods. Deployed across sites in the U.S. and Germany, it enables full control over data and systems under strict export control requirements.

“We are at an extraordinary moment – demand for energy is reshaping not just our infrastructure, but how we engineer,” said Kian Mossanen, CIO and CDO of Siemens Energy. “With HPE, we now have enormous compute power, so we can use AI in ways we simply couldn't before. This speeds up innovation across our business – from simulating and testing more turbine designs faster to using digital twins to predict failures before they happen. And in the future, our engineers and AI agents will work side by side. HPE is helping us become an agentic enterprise in important areas of our business.”

HPE is helping us become an agentic enterprise in important areas of our business.

Global demand for power generation is growing at a pace the energy industry has not seen in decades. The electrification of industry and transport, the expansion of AI data centers, and the modernization of aging grids are converging to create exceptionally strong market momentum for Siemens Energy. The company provides technology and services across the full energy value chain, from gas and steam turbines to grid infrastructure and wind power. This momentum is reflected in a record total order backlog of €154 billion as of the second quarter of fiscal year 2026. Responding to that level of demand requires a qualitative shift: the ability to apply AI to engineering and operations to accelerate design cycles, anticipate equipment behavior, and scale operations faster, at lower cost and under sovereign control.

“Infrastructure has become the defining constraint for scaling AI. Enterprises need performance, sovereignty, and cost efficiency at the same time without trade-offs,” said Antonio Neri, president and CEO at HPE. “Siemens Energy runs some of the most compute-intensive engineering in the world, pushing turbine efficiency to record levels. HPE gives them a platform built for that reality today and for the agentic enterprise they're building for tomorrow.”

Siemens Energy's technical teams combine high-throughput simulation with AI-driven design to model the aerodynamic, thermal, and structural behavior of turbine designs, each tailored to specific operating environments from Arctic to equatorial conditions. GPU and NVIDIA CUDA-X accelerated CFD, for example with Siemens Simcenter StarCCM+, will enable Siemens Energy to design next-generation, low-carbon turbomachinery far faster and more accurately, cutting simulation times from days or weeks to hours while expanding design exploration. The company also uses digital twin technology, built using NVIDIA Omniverse libraries, and predictive maintenance to monitor and optimize its global installed base. Much of Siemens Energy's equipment serves highly regulated applications, placing engineering data under U.S. and EU export control regulations.

HPE addresses these requirements with a private cloud environment delivered through GreenLake Flex that is designed to provide significant expansion of computing capabilities across CPU, GPU, storage, and network resources compared to Siemens Energy’s previous environment, to support increasingly complex simulations and accelerated engineering innovation. Where public cloud pricing had become unsustainable at near-permanent full utilization, GreenLake Flex provides affordable pay-per-use economics. Siemens Energy retains complete operational control over its systems and data while HPE provides infrastructure services covering compute, storage, networking, and security.

The platform combines HPE ProLiant servers with AMD EPYC^TM processors for high-throughput simulation and NVIDIA accelerated computing, NVIDIA Quantum InfiniBand high-speed networking and NVIDIA AI Enterprise software for agentic AI and machine learning workloads. Together, these technologies support increasingly complex simulation, digital twin, and AI-driven engineering workflows. HPE Alletra Storage MP B10000 delivers both the simulation performance and the long-term data retention that decades of regulatory compliance demand.  The U.S. site is already operational; the German site is on track for full deployment by mid-2026.